141 results about "Soil mass" patented technology

The invention relates to the technical field of earthwork compaction, and discloses a pipe ditch backfilling and tamping system based on excavator modification. The system comprises an earthwork condition dynamic sensing module which captures a bucket tooth track, a hydraulic oil cylinder pressure pulse and a soil mass vibration spectrum in real time and combines a historical database to construct a model to output a theoretical compaction degree curve; a multi-source compaction difference analysis module performs three-dimensional deviation detection on the theoretical curve and the actual settlement volume data to generate a construction grid-level compaction difference tensor; the defect area association mapping module inputs the tensor into a geological topology analysis network, generates a loose defect propagation path probability cloud chart by combining soil parameters and identifies weak sections; and the tamping strategy self-adaptive configuration module automatically sets operation parameters according to the cloud picture, activates high-precision monitoring on a high-probability defect section, and applies a dynamic excitation force test on adjacent grids, so that intelligent management and control of the backfilling and compacting process are realized.

In a first step, a pretreatment for measuring a moisture characteristic of soil is performed. The pretreatment can be removal of moisture from the soil of interest. For example, removing water that is a cause of a soil mass can be the pretreatment. Next, in a second step, the moisture characteristic of the soil subjected to the pretreatment is measured. The moisture characteristic is a water content of the soil. In addition, the moisture characteristic is a matrix potential value at a specified soil water content. Next, in a third step, the corrosion of the metal member buried in the soil is estimated from the measured moisture characteristic.

The invention relates to the technical field of geotechnical engineering monitoring, in particular to a soil erosion and particle migration prediction method and system based on acoustic emission monitoring, and the method comprises the following steps: obtaining a soil mass ratio parameter, and preparing a soil sample based on the soil mass ratio parameter to obtain a test soil sample; constructing a multi-field coupling test mechanism to perform a multi-field coupling soil body test on the test soil sample; establishing a soil sample data acquisition device to obtain soil sample monitoring data in the multi-field coupling soil body test process; obtaining acoustic emission characteristic parameters of the test soil body according to the soil sample monitoring data, and establishing a multivariate nonlinear regression model; and constructing a soil body prediction model to realize prediction of soil body erosion and particle migration. Through fusion of multi-field coupling monitoring and machine learning, limitation of a traditional empirical model is broken through, high-precision dynamic prediction of soil erosion and particle migration is realized, a scientific basis is provided for stability evaluation of roadbed engineering, and prediction reliability and engineering applicability are remarkably improved.

The invention provides a landslide probability prediction method and system, computer equipment and a storage medium, and belongs to the field of geological disaster early warning, and the method comprises the steps: obtaining the soil cohesion, internal friction angle and permeability coefficient of rock soil in a landslide region to be predicted; random field generation is carried out on the soil body cohesion, the internal friction angle and the permeability coefficient of the rock soil in the landslide area to be predicted, and soil body cohesion random field data, internal friction angle random field data and permeability coefficient random field data are obtained; carrying out discrete processing on the soil mass cohesion random field data, the internal friction angle random field data and the permeability coefficient random field data to obtain random variables of rock soil in the landslide area to be predicted; inputting the random variables of the rock and soil of the landslide area to be predicted into a pre-trained machine learning model, and calculating and outputting a plurality of slope safety coefficients; and determining the failure probability of the rock soil of the to-be-predicted landslide area according to the plurality of slope safety factor sets. According to the method, soil parameter spatial variability is considered, and the landslide probability prediction accuracy is improved.

The invention provides a field slope stability monitoring method based on acoustic emission, and belongs to the technical field of field slope stability monitoring. In order to solve the technical problems of large soil mass fracture signal attenuation, strong noise interference and poor real-time performance of traditional monitoring in the existing loess slope instability monitoring, the adopted technical scheme is as follows: an inclined hole channel is drilled in the main sliding direction of a slope body by adopting a hydraulic guide drilling machine; vertically inserting the manufactured passive waveguide device from the top surface of the slope top, burying the manufactured active waveguide device into the drilled inclined hole channel, and burying the surface of a slope body by using an in-situ soil body; the acoustic emission probes of the passive waveguide devices and the active waveguide devices are connected with a collection device through signal lines, and the acoustic emission probes send induced acoustic emission signals to the collection device; the acquisition device receives the acoustic emission signals, then preprocesses the acoustic emission signals, extracts time-frequency domain features, and transmits the time-frequency domain features to the cloud system through a wireless network; the method is applied to field slope stability monitoring.

The invention provides a method for predicting settlement of a transformer substation in a collapsible loess area based on a neural network, and relates to the technical field of geological engineering monitoring. Then, settlement characteristic indexes such as collapsibility, bearing capacity influence and deformation stability are obtained through analysis, a prediction model is established with soil mass mechanical data as input and the settlement characteristic indexes as output, the model performance is optimized through a particle swarm optimization algorithm and a loss function, and finally a fitness function is constructed according to the settlement characteristic indexes. And calculating the settlement fitness value of each sub-region, evaluating the settlement amount in combination with load time sequence data, setting a settlement threshold value, and carrying out risk marking on the sub-regions exceeding the threshold value. The settlement risk of the loess area where the transformer substation is located is effectively evaluated and controlled by establishing the settlement characteristic index prediction model and the dynamic monitoring mechanism.

The invention provides a soil moisture content detection method based on unsteady heat conduction and optical fiber temperature measurement, which comprises the following steps: heating a soil body in a target measurement area based on an active heating method, and measuring the temperature value of the soil body at each moment under different radial distances from a heating source in the heating process; substituting the soil body temperature value at any moment in the heating process and the corresponding radial distance into a predetermined soil body moisture content relation model to obtain the soil body moisture content at the position corresponding to the radial distance from the heating source in the target measurement area at the corresponding moment; and determining the soil mass moisture content of the target measurement area according to the soil mass moisture content at each radial distance position from the heating source in the target measurement area at the corresponding moment. According to the method, the relationship between the soil moisture content and the soil temperature value is established, and in-situ monitoring and long-time monitoring of the large-range soil in the target measuring area are achieved through the soil temperature value obtained through the active heating method.

The invention discloses a coal mine slope stability analysis method based on numerical simulation. The coal mine slope stability analysis method comprises the following steps: acquiring strength and permeability data of a rock-soil body through a field investigation point location, processing by adopting a statistical analysis method, obtaining initial parameter statistical characteristics, simulating parameter random distribution of the rock-soil body in a three-dimensional space, and obtaining a heterogeneous parameter distribution field; a finite element analysis method is adopted to calculate stress-strain response of the slope under external load and hydrological conditions, a local stress concentration area is determined, and a slope stability index is obtained; acquiring a local deviation value of a corresponding parameter distribution field for an area where the slope stability index exceeds the range, adjusting the deviation value through an iterative algorithm, and determining an optimized parameter distribution field; and performing finite element analysis again based on the optimized parameter distribution field, judging distribution positions of potential instability points, and determining a final risk boundary according to the distribution positions of the potential instability points. According to the method, the scientificity and reliability of slope stability evaluation are improved.

A stratum reinforcement modeling and analysis method for a shield tunnel crossing an existing structure is provided. Geological information and an engineering structure condition of the existing structure are acquired. Physical parameters of different soil mass layers are determined based on a laboratory test. A three-dimensional (3D) model is constructed. Mesh generation is performed on the 3D model defining a constraint for the 3D model. Model parameters are selected for the 3D model. A soil mass constitutive model is selected for the 3D model. Synchronous grouting simulation, construction load simulation and shield tunneling construction simulation are performed on the 3D model. Stratum parameters are changed to achieve stratum reinforcement modeling. Data analysis is performed by adopting different reinforcement schemes to achieve stratum reinforcement modeling and numerical analysis of the process of the shield tunnel crossing the existing structure.

The invention relates to the field of geotechnical engineering, and discloses a portable intelligent measuring device and method for the optimal moisture content and the maximum dry density of a soil mass, and the device comprises an automatic sample preparation system integrating stirring, heating and water adding functions, a similar compaction system based on static pressure and frictional resistance measurement, and an intelligent control system, the detachable inner barrel is used as a connecting core; the method comprises the following steps: automatically preparing a series of to-be-detected soil samples with different water contents, performing class compaction on each soil sample to measure corresponding interface friction resistance, and finally calling a conversion model by an intelligent system, and calculating and outputting the optimal water content and the maximum dry density. According to the invention, automatic sample preparation, indirect measurement and intelligent analysis are modularly integrated, so that a traditional compaction test is converted into an automatic test process which can be quickly and accurately completed on an engineering site, and the problems that the test period is long, the test depends on a laboratory, and site construction cannot be timely guided in the prior art are solved.

Disclosed in the present invention is a protection structure for a deep excavation cutting slope, the protection structure comprising: a protection plate assembly, which comprises an inner protection plate covering a slope body and an outer protection plate provided above the inner protection plate, wherein vertical sleeves distributed in a grid pattern are provided on the inner protection plate, and circular slots allowing the vertical sleeves to pass through are formed in the lower portion of the outer protection plate; a fixing assembly, which comprises a plurality of rows of anchor rods, each anchor rod comprising a threaded section matched with an internal thread and a smooth section capable of moving relative to a vertical sleeve; and an adjusting assembly, which comprises a plurality of rows of telescopic springs I, an adjusting rod connected to any row of telescopic springs I, a vertical column provided on a crest and extending into a soil mass, and a slide rail column provided on a toe, one end of the adjusting rod being connected to the vertical rod, and the other end thereof being vertically slidably connected to the slide rail column. The present invention can improve the stability of slopes, and further the protection structure can be finely adjusted in real time in response to deformation of soil masses of slopes.

The invention provides an ecological slope protection structure and a construction method thereof, and relates to the field of slope engineering, the ecological slope protection structure comprises a geocell arranged in a shallow soil body of a slope surface, and plants are planted in the geocell; the precast concrete beam is arranged on the upper surface of the geocell and is arranged along the inclination direction of the slope slope surface; the cast-in-place concrete beams are arranged on the slope top, the slope middle and the slope toe respectively, the cast-in-place concrete beam located on the slope top is connected with the top of the prefabricated concrete beam, the cast-in-place concrete beam located on the slope toe is connected with the bottom of the prefabricated concrete beam, and the cast-in-place concrete beam located on the slope middle presses the prefabricated concrete beam on the slope face of the slope. The method has the effect of improving the overall stability of the slope.

The invention relates to the technical field of geotechnical engineering investigation, and particularly discloses a seabed stratum identification method based on CPTU. The method comprises the following steps: acquiring and preprocessing CPTU data; dividing a training set and a test set, and calculating a feature prototype vector of each type of soil mass; constructing a characteristic parameter sensitivity matrix by disturbing each characteristic of the prototype vector and calculating a cosine similarity change rate; calculating the average sensitivity of each feature based on the matrix, and determining a global feature weight vector; weighting the to-be-identified sample and the prototype vector by using the weight vector, and calculating cosine similarity between weighted vectors; and determining the soil body type according to the highest similarity. According to the method, physical response differences of different soil bodies to CPTU parameters are quantified through sensitivity analysis, feature importance is embodied through weight vectors, the defects of parameter sensitivity imbalance and machine learning'black box 'processing of a traditional method are overcome, classification accuracy and thin interbed resolution capability are improved, and meanwhile, the classification accuracy and the thin interbed resolution capability are improved. And the interpretability and the engineering practicability of the model are obviously enhanced.

The invention provides a large-size sample sampling method for mine rock mass or cold region mine frozen soil mass, which comprises the following steps: marking a cutting range on a free surface, and drilling at the vertex of the cutting range; anchor rods are fixed in the drill holes; the diamond string bead rope is wound between two reversing pulleys, the reversing pulleys extend into the drill hole through a mounting rod and are connected to the top of the anchor rod, and the angle of the reversing pulleys is adjusted, so that the rope outlet direction of the reversing pulleys is the same as the to-be-cut direction; the diamond beaded rope is tensioned and connected to a rope saw, the rope saw is started, the diamond beaded rope cuts the vertical face along the to-be-cut position, the steps are repeated, and all the vertical faces are cut; the angle of the two reversing pulleys is adjusted, the diamond beaded rope winds around the rock sample subjected to vertical face cutting in the horizontal direction, the rope saw is started, the diamond beaded rope cuts along the bottom face of the rock sample, and the rock sample is taken out after cutting is completed. According to the invention, large-size sampling is facilitated, the size of the taken rock sample is relatively regular, and the damage degree is low.

The invention relates to a monitoring device for monitoring the amount of loose soil taken out and / or for monitoring the enlargement of the aperture for establishing an annular space during the establishment of a drill hole in a soil mass (10) by the advancement of a drilling device (20), the invention relates to a monitoring device (30), which can be arranged below an opening (25) in a peripheral wall (3) of a drilling device (20) or below an opening in an outer wall of a pipe section of the drilling device or below an opening of a support pipe, the drilling device (20) being a drilling device for establishing a drill hole in a soil mass from a starting point to a target point, the monitoring device (30) having a receptacle (4), the invention relates to a monitoring device (30) for a motor vehicle, comprising a receptacle (32) having an interior space (33) and a through-hole for arrangement in the region of the opening (25), comprising a monitoring element (5) which is arranged in the interior space (33) so as to be pivotable about a pivot axis (6), and comprising an actuator (11) which is connected to the monitoring element (5), the monitoring element (5) can be moved in a pivoting direction (A) by means of the actuator (11), the monitoring element (5) has a pivoting range such that the monitoring element (5) can be moved through the through-hole, and the monitoring element (5) has at least one contact surface (9) which is in contact with a borehole wall (13) / soil mass (10) in the state in which the monitoring element (5) is pivoted out.

The present application relates to a kind of rock-soil body borehole automatic layering and drilling process supervision method, comprising: installing or embedding sensor unit and data acquisition device on drilling machine;Monitoring and recording drill bit displacement, drilling machine hydraulic oil pressure, drill pipe rotating speed and drilling time, dividing auxiliary process and pure drilling process;Drilling depth-time curve of pure drilling process, reset collection interval time;Identify drilling speed turning point on the drilling depth-time curve of pure drilling process;Determine the drilling depth interval between adjacent two turning points and corresponding drilling speed, complete the automatic layering of rock-soil body;Analyze the data collected in auxiliary process, eliminate possible data forgery problem, complete the drilling process supervision of rock-soil body.The present application overcomes the shortcomings of traditional drilling manual recording, realizes the purpose of automatic layering and supervision of stratum in drilling process by analyzing drilling displacement, drilling machine hydraulic oil pressure, drill pipe rotating speed and drilling time.

The application relates to a method and device for repairing and reconstructing an inclinometer tube and automatically monitoring deep deformation of a geotechnical body, which can effectively solve the problem that the inclinometer tube is damaged due to excessive deformation and cannot continue to be observed. The method comprises the following steps: checking the inclinometer tube which cannot be artificially observed; cleaning the checked inclinometer tube and re-installing and burying a new inclinometer tube or re-drilling a hole around the original inclinometer tube and burying a new inclinometer tube; lowering, installing and fixing an array displacement meter into the inclinometer tube; installing a data acquisition and wireless transmission terminal; accessing a terminal and logging into a server to mount the array displacement meter; and collecting and monitoring data in real time. The method has the advantages of automatic data collection, wireless transmission, reduced labor cost of traditional artificial observation, human error, accurate and real-time data and early warning.

The invention discloses a rock-soil body in-situ shearing and moisture content density integrated detection device, which belongs to the technical field of geological exploration and comprises a probe rod and a vane shearing head arranged at the bottom end of the probe rod. The cross plate shearing head is installed at the bottom end of the probe rod through the one-way connecting mechanism, rotation of the cross plate shearing head can be controlled in a one-way mode through the collection driving mechanism, the rotation torque is synchronously detected to obtain the shear strength index of the rock-soil body, meanwhile, the sleeve is arranged on the outer side of the probe rod in a sleeving mode, and through the limiting plate arranged on the outer wall of the sleeve, the shear strength index of the rock-soil body is obtained. The position of the sleeve can be circumferentially limited after the probe rod penetrates into the target depth, a density probe and a moisture content probe are integrally installed in the two sets of limiting plates respectively and matched with a lifting mechanism for use, the lifting mechanism can be triggered when the probe rod rotates reversely, and the density probe and the moisture content probe are driven to stretch out and be inserted into soil. In-situ detection of the density and the water content is completed, and the functionality of equipment is improved.

The invention belongs to the technical field of geotechnical engineering slope reinforcement, and particularly relates to a soft soil slope settlement and landslide treatment structure and a construction method.According to the soft soil slope settlement and landslide treatment structure and the construction method, an anchoring foundation deeply buried in a slope body is arranged to provide a reliable bearing layer for an anchoring assembly, and the problem of insufficient anchoring force caused by low friction resistance of soft soil is effectively solved; the material strength of the anchor rod is fully exerted; an anchoring assembly for connecting the anchoring foundation and the slope surface bearing structure is used for transmitting side slope sliding force to a deep stable soil layer, effective transfer and diffusion of loads are achieved, stress concentration is relieved, and deep soil mass resistance is mobilized; meanwhile, slope deformation is actively limited by means of a restraining assembly fixed to the bearing structure, accumulated water is drained in time through a drainage structure arranged on the bearing structure, the pore water pressure is reduced, and finally through a cooperative working mechanism of deep anchoring, slope restraining and efficient drainage, the slope deformation is effectively restrained. And the overall stability, the anti-settling capability and the anti-sliding capability of the soft soil slope are remarkably improved.

This invention discloses a method for joint monitoring of surface subsidence and pipeline deformation in coal goaf areas, relating to the fields of geotechnical mechanics and surveying engineering technology. The method includes: acquiring SAR time-series images of the coal goaf area; obtaining surface subsidence data of the coal goaf area based on the SAR time-series images by combining the S-InSAR method and the phase cumulative difference D-InSAR method; determining the pipeline length, inner and outer diameters, burial depth, and the extent and shape of the soil mass based on the SAR time-series images of the coal goaf area, and establishing a pipeline-soil numerical model of the coal goaf area; determining the subsidence value and horizontal movement value based on the coal goaf image data containing the relationship between surface subsidence and pipeline location; inputting the subsidence value and horizontal movement value into the pipeline-soil numerical model of the coal goaf area for numerical simulation to obtain pipeline deformation stress data; and determining the spatial coupling relationship between the surface subsidence data and the pipeline stress-deformation data by spatially superimposing the surface subsidence data and the pipeline stress-deformation data.

The invention discloses a pretreatment construction method for a manual hole digging pile in an unbonded gravel area, and belongs to the technical field of building construction. The method comprises the following steps: determining a treatment range and cleaning a surface; preparing red clay or bentonite slurry; selecting a pouring starting point according to landform characteristics, starting pouring from the edge when an exposed side slope exists, and starting pouring from the center when the exposed side slope does not exist; estimating the area volume and calculating the slurry consumption; the water-soil mass ratio of slurry is adjusted through trial grouting; the proportion of the slope area is adjusted by observing the seepage mud condition, and the proportion of the slope-free area is adjusted according to the heavy dynamic penetration detection result; pouring is repeated until the surface is full of mud and stable muddy cement is formed; and after the slurry is dried, hole digging pile operation is started. Argillaceous cementation is formed through slurry pouring, the stability of the loose gravel area is effectively improved, and the construction safety of the follow-up manual hole digging pile is guaranteed.

The invention relates to the technical field of soil mass layered monitoring, and discloses a soil mass layered settlement monitoring device and a soft soil parameter dynamic updating method.The soil mass layered settlement monitoring device comprises a fixing steel plate, a plurality of fixing rods and a plurality of suspension plates, the fixing steel plate is arranged at the bottom of a soil mass, the fixing rods are perpendicularly arranged on the surface of the fixing steel plate, and scales are arranged on the outer surfaces of the fixing rods; the multiple suspension plates are located on the surfaces of all soil layers of the soil body respectively and arranged on the outer surfaces of the multiple fixing rods in a sleeving mode respectively, and indicating cylinders are arranged at the tops of the suspension plates. The fixed steel plate provides a stable foundation, and the plurality of fixed rods with scales ensure that the monitoring reference is accurate; the suspension plate is sleeved with the fixing rod, corresponds to soil layers of different depths and can synchronously move along with settlement of the soil layers, and the top indicating cylinder protrudes out of the surface of the soil layer, so that data reading is facilitated, and soil disturbance is avoided; the structure can synchronously capture layered settlement data of different depths and different positions, accurately distinguish independent deformation characteristics of each soil layer, and fill the blank that traditional equipment can only measure total settlement.

The application provides a rock-soil body dynamic damage simulation method based on an energy dissipation hot spot, comprising the following steps: constructing a near-field dynamics and discrete element coupling model for describing the mechanical state of particles under the action of an earthquake; calculating the force information of the particles; calculating the particle velocity and displacement according to the force information of the particles, and analyzing the damage process according to the energy dissipation hot spot to obtain a calculation result; and outputting the calculation result and drawing a cloud chart. The application constructs a near-field dynamics and discrete element coupling model for the slope instability phenomenon under the action of an earthquake, and applies the model to a discrete element software to form a method for describing the deformation and damage characteristics of a slope under the disturbance of an earthquake; the application analyzes the shape and characteristics of a sliding surface through the rock-soil body dynamic damage simulation method based on the energy dissipation hot spot, reflects the process of slope instability under the action of an earthquake, improves the prediction accuracy and the recognition accuracy of the sliding surface, and has a significant advantage in the prediction of the progressive damage of rock-soil bodies and sudden landslides.

The invention discloses a system and a method for in-situ measurement of thermodynamic electrical parameters of a rock-soil body. The system comprises an in-situ detection probe, a data acquisition instrument, a penetration assembly for connecting the in-situ detection probe and the data acquisition instrument, and a data analysis platform connected with the data acquisition instrument, the in-situ detection probe comprises a CPTU static sounding probe, a four-phase pole resistivity probe, a heating probe inserted into a hollow cylinder of the four-phase pole resistivity probe, and an adapter connected with the CPTU static sounding probe and the four-phase pole resistivity probe; the four-phase electrode resistivity probe comprises a hollow metal shell, and an insulating material, a voltage electrode and a current electrode are arranged on the outer ring of a cylinder at intervals. During testing, the resistivity of the soil body is firstly tested, then the heating wire is electrified and heated, and the four-phase pole resistivity probe is used as a temperature sensor of the heating probe, so that synchronous testing of soil layer classification and thermodynamic electrical parameters of the rock-soil body is realized. The invention further provides a column heat source-parameter estimation method for thermal parameter testing, and the testing accuracy is remarkably improved.

The utility model relates to the technical field of rock and soil foundation reinforcement, and discloses a waste slag rock and soil body reinforcement structure which comprises a reinforcement plate and an anchoring mechanism, the anchoring mechanism comprises a fixing plate, a first anchor rod and a second anchor rod, a first through hole and a second through hole are formed in the reinforcement plate, a breakthrough assembly is arranged in the second anchor rod, and the first anchor rod and the second anchor rod are connected. A cavity is formed in the second anchor rod in the axial direction, a plurality of through grooves are evenly formed in the surface of the second anchor rod, each through groove communicates with the cavity, a breakthrough plate is movably connected into each through groove, and in the first state, all the breakthrough plates do not protrude out of the surface of the second anchor rod; in the second state, all the breakthrough plates protrude out of the surface of the second anchor rod; a reinforcing assembly is arranged in the cavity and can drive the breakthrough plate to be converted from the first state to the second state. The problems that in the prior art, the surface of an anchor rod is smooth, the fixing effect of the anchor rod and soil is poor, a reinforcing structure is prone to displacement under washing of rainwater, and the rock-soil body reinforcing effect is affected are solved.

This invention discloses a system and method for testing the collapsibility coefficient of undisturbed loess. The system includes a constant-force jacking device, a humidification and maintenance device, and a collapsibility coefficient determination device. The constant-force jacking device is installed at the annular soil mass within the test hole to apply a constant horizontal jacking force to the annular soil mass. The humidification and maintenance device covers the outside of the annular soil mass to gradually humidify it and obtain its moisture content. The collapsibility coefficient determination device is connected to the constant-force jacking device and the humidification and maintenance device to determine the collapsibility coefficient or self-weight collapsibility coefficient of the annular soil mass at different moisture contents based on the jacking distance of the constant-force jacking device. This invention utilizes undisturbed annular loess in the field, eliminating the need for sampling and indoor testing to obtain the collapsibility coefficient or self-weight collapsibility coefficient. It preserves the original structure of the loess, resulting in more accurate collapsibility test results that meet the needs of engineering design and disaster management.

This invention relates to the field of rock and soil stability assessment technology, specifically to a method and system for rock and soil stability assessment based on big data. It includes the following steps: S1, obtaining the geological range of the rock and soil mass to be assessed for stability, and simultaneously collecting relevant big data on the rock and soil mass based on this geological range; S2, dividing the geological range of the rock and soil mass into regions based on the geographical location and geological characteristics corresponding to the relevant big data; predicting rock and soil mass data by selecting factors based on correlation values, and combining the selected factor-predicted rock and soil mass data with time-predicted rock and soil mass data to perform a comprehensive stability score. The scoring process considers multiple dimensions, including basic stability score, time-predicted data weight, weight of changing factors, correlation correction coefficient between regions, and regional area weight, to calculate the final comprehensive stability score, which can objectively and accurately reflect the overall stability status of the rock and soil mass geological range.

The invention discloses an overpass bridge pile foundation anti-sedimentation structure in an expansive soil area, and relates to the technical field of pile foundation anti-sedimentation, the overpass bridge pile foundation anti-sedimentation structure comprises a pile foundation structure and an anti-sedimentation mechanism; the anti-settling mechanism comprises a first reinforcing structure and a second reinforcing structure; the bearing plate of the first reinforcing structure penetrates into bed rock through multiple rows of anchor bolts, the uplift bearing capacity is greatly improved compared with the prior art, uplift force of expansive soil can be borne, horizontal thrust is decomposed into axial pressure and shear force through a triangular structure formed by the supporting pieces, local stress concentration of the pile foundation structure is reduced through elastic buffering of an elastic cushion, and the pile foundation structure is more stable. A second reinforcing structure rigidly connects second connecting sleeves of adjacent pile foundation structures through connecting columns, the load dispersion efficiency is improved, differential settlement of adjacent pile foundations is controlled within a small range, an attaching plate of an inclined reinforcing column is attached to the curved surfaces of the pile foundations, the shear rigidity is improved, and the pile foundation structure is suitable for the soil mass with the high expansion grade; the shear deformation of the expansive soil is effectively resisted.

The application discloses a kind of based on artificial intelligence's geotechnical engineering survey safety monitoring system and method, it is related to rock-soil mass deformation safety monitoring technical field, specifically including the following steps: obtaining multi-source data, including the deformation of rock-soil mass, stress and environmental data, model input data source is established;Data fusion processing is carried out;With the result of data fusion processing as input, through data simulation, the stress and deformation correlation of rock-soil mass is obtained;Based on deep learning, with the stress and deformation correlation of rock-soil mass as basement, through the method of time series prediction, short-term recursive calculation model and long-term trend analysis model are respectively constructed;Real-time multi-source data value is obtained, the displacement prediction vector of rock-soil mass is obtained according to the short-term recursive calculation model, compared with the preset threshold value, when exceeding the threshold value, real-time early warning is carried out, and the long-term trend analysis result is visualized.The application enhances engineering safety, improves the long-term stability and reliability of infrastructure.

The invention discloses a neural network method and computer system for foundation pit soil parameter uncertainty inversion, and the method comprises the following steps: 1, building a numerical simulation data set: employing finite element analysis software to build a two-dimensional numerical model of actual foundation pit engineering excavation; selecting a horizontal displacement measuring point at the midpoint of the long side of the enclosure structure of the actual foundation pit engineering; generating combinations of more than 10000 groups of soil mass parameters through a Latin hypercube sampling method, extracting more than 70% of the combinations of all the soil mass parameters to form a training set, and forming a test set by the groups of the remaining soil mass parameters; 2, constructing and training a neural network model; 3, acquiring actual engineering data, and acquiring horizontal displacement data of an actual vertical measuring line of the enclosure structure; 4, performing uncertainty inversion; and 5, outputting and applying a result. According to the method, the accuracy and reliability of parameter estimation can be improved, and scientific support is provided for safe construction and optimization of foundation pit engineering.